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Results for "tidyverse (r package)"
- Status: Free
Coursera Project Network
Skills you'll gain: Embedded Systems, C (Programming Language), Embedded Software, Data Structures, Programming Principles, Data Management, Data Storage Technologies, Software Development
- Status: Free Trial
Skills you'll gain: Data Manipulation, Applied Machine Learning, Supervised Learning, Machine Learning, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Taxonomy, Data Mining, Data Analysis, Deep Learning, Matplotlib
Skills you'll gain: Restful API, Postman API Platform, API Design, Application Programming Interface (API), .NET Framework, Authentications, Object-Relational Mapping, Development Environment, Microsoft Visual Studio, C# (Programming Language), Web Development Tools, Endpoint Security, Database Design, Software Design Patterns, Data Mapping, Data Validation
- Status: Free
Coursera Project Network
Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
- Status: New
Skills you'll gain: Shiny (R Package), User Interface (UI), Data Visualization Software, Interactive Data Visualization, Application Deployment, Web Applications, Data Analysis, Front-End Web Development, Back-End Web Development, Spatial Data Analysis, Web Development, Full-Stack Web Development, Python Programming, Application Development, Development Environment
- Status: Free Trial
Skills you'll gain: Scope Management, Project Schedules, Budget Management, Project Scoping, Project Performance, Scheduling, Stakeholder Engagement, Resource Management, Work Breakdown Structure, Cost Estimation, Requirements Management, Resource Allocation, Stakeholder Communications, Performance Metric, Milestones (Project Management), Project Management, Capacity Management, Quality Assessment, Estimation, Forecasting
- Status: New
Skills you'll gain: Forecasting, Predictive Modeling, Data Manipulation, Anomaly Detection, Pandas (Python Package), Exploratory Data Analysis, Data Cleansing
- Status: Free
Google Cloud
Skills you'll gain: Apache Maven, Kubernetes, Google Cloud Platform, Docker (Software), CI/CD, Package and Software Management, Virtual Environment, Network Security
Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)
- Status: Free Trial
University of Michigan
Skills you'll gain: Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Python Programming
- Status: NewStatus: Free Trial
Skills you'll gain: ASP.NET, Model View Controller, .NET Framework, Object-Relational Mapping, Data Access, Full-Stack Web Development, Web Development, Web Applications, Database Development, Software Architecture, Software Design Patterns, Dependency Analysis, User Interface (UI)
- Status: NewStatus: Preview
Board Infinity
Skills you'll gain: Object-Relational Mapping, Database Design
In summary, here are 10 of our most popular tidyverse (r package) courses
- Data Structures with C: Upgrade a Rocket Display Module:Â Coursera Project Network
- Recommender Systems with Machine Learning:Â Packt
- Minimal API Development with ASP.NET Core:Â Packt
- TensorFlow Prediction: Identify Penguin Species:Â Coursera Project Network
- Shiny for Python Ultimate - Web Development with Python:Â Packt
- Managing IT Project Scope, Schedule, and Resources:Â Packt
- Time Series Forecasting with Facebook Prophet in Python:Â Packt
- Securing Container Builds:Â Google Cloud
- Machine Learning: Random Forest with Python from Scratch©: Packt
- Statistics with Python Using NumPy, Pandas, and SciPy:Â University of Michigan